Triple
T441023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African American Vernacular English |
E10112
|
entity |
| Predicate | hasOrthography |
P12752
|
FINISHED |
| Object | usually written using standard English spelling with nonstandard conventions in representation |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: usually written using standard English spelling with nonstandard conventions in representation | Statement: [African American Vernacular English, hasOrthography, usually written using standard English spelling with nonstandard conventions in representation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrthography Context triple: [African American Vernacular English, hasOrthography, usually written using standard English spelling with nonstandard conventions in representation]
-
A.
hasOfficialOrthography
Indicates that an entity has a formally recognized and standardized system for writing its language or name.
-
B.
hasOrthographicReform
Indicates that an entity has undergone or is associated with a change or standardization in its writing system or spelling conventions.
-
C.
hasStandardOrthographySince
Indicates that a language or writing system has used a particular standardized orthography starting from a specified point in time.
-
D.
orthographicProperty
chosen
Indicates a relationship where a specific written or spelling-related characteristic is attributed to or associated with an entity.
-
E.
hasContextualLetterForms
Indicates that the written form of a letter changes shape depending on its surrounding characters or position within a word.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef2af84881909635ebbbb3465b1b |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2eddcf50c8190bfa0d1f8ee9f604a |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.